Partial Volume Correction
Partial Volume Correction - Related Videos
01:15
Distance Corrections
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2025
To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
01:20
Power Factor Correction
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2024
The power transmission to a factory involves the transfer of apparent power, a combination of active and reactive power. The power factor measures how effectively electrical power is converted into useful work output. The ratio of the real power (KW) that does the work to the apparent power (KVA) supplied to the circuit. A poor power factor means the inductive electrical load absorbs more reactive power, causing a low lagging power factor. This results in large voltage drops across the load...
08:34
Robot-assisted Partial Splenectomy
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2026
This protocol describes a robot-assisted partial splenectomy for a benign splenic tumor. The robotic approach optimizes spleen preservation by enhancing surgical precision, minimizing blood loss, and improving postoperative outcomes. Key surgical steps include meticulous splenic hilum dissection, selective vascular ligation, intraoperative ultrasonography, and controlled parenchymal transection.
03:59
Surgical Correction for Pediatric Epiblepharon and Trichiasis
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2025
Here, we present a protocol for surgical correction for pediatric epiblepharon and trichiasis.
11:10
Isolation of Human Islets from Partially Pancreatectomized Patients
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Cited by 10 •
2011
The supply of type 2 diabetic islets for research is insufficient. Here we share our protocol for isolating islets from patients undergoing partial pancreatectomy. This approach represents a unique venue for obtaining islets from type 2 diabetic and clinically matched non-diabetic subjects in adequate numbers for basic and clinical studies.
FAQs
Recovery coefficients estimate how much of a structure’s true signal is detected within a voxel and its neighboring voxels. Applying these coefficients adjusts measured values that have been reduced by limited spatial resolution, particularly for small lesions or structures. The resulting estimates more closely represent underlying tracer activity or image intensity, supporting quantitative interpretation.
Lesion size influences how strongly measured activity or intensity is underestimated. Small lesions occupy fewer voxels, so signal spreading has a greater effect on their apparent values than on larger regions. Accounting for this size-dependent behavior helps distinguish a low measurement caused by imaging limitations from a genuinely lower underlying signal.
Anatomical segmentation identifies the tissues or structures represented in an image region, while modeling describes how their signals may be distributed across neighboring voxels. Together with scanner-resolution information, these inputs allow the correction to estimate the underlying signal rather than relying only on the original measured value. This is especially important where adjacent tissues mix.
A typical workflow uses the image, information about scanner spatial resolution, and anatomical segmentation of relevant regions. The selected correction approach then applies recovery coefficients or a model to estimate the underlying signal in each target structure. Corrected measurements can subsequently be used for lesion assessment, tracer-uptake quantification, or comparisons across imaging datasets.
In positron emission tomography and single-photon emission computed tomography, the method improves estimates of tracer uptake in regions affected by limited spatial resolution. This can make lesion measurements more representative of underlying activity and help investigators interpret regional differences quantitatively. Its role is particularly relevant when imaging small lesions or comparing uptake across study participants.
Correction is valuable when measurements must be compared across patients, scanners, or treatment studies, because finite resolution can influence apparent activity or intensity. Adjusting for this effect makes quantitative values more comparable than uncorrected measurements alone. In medical research, that supports more consistent lesion assessment and evaluation of tracer-uptake changes across imaging conditions.